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Factors Identified That Predict Glycemia Trajectory in Type 2 Diabetes

Factors Identified That Predict Glycemia Trajectory in Type 2 Diabetes
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Norra savolaxPiia lavikainenUniversity of eastern finlandHealthday newsClinical epidemiologyEastern finland

Poor glycemic control in patients with type 2 diabetes can be predicted from patient information systems with the help of machine learning

Poor glycemic control in patients with type 2 diabetes can be predicted from patient information systems with the help of machine learningThe risk for poor glycemic control in patients with type 2 diabetes can be predicted with confidence by using machine learning methods, a new study from Finland finds. The most im.

Norra savolaxNorth kareliaJanne martikainenPekka siirtolaGunjan chandraPiia lavikainenFinnish diabetes associationSchool of pharmacyInsurance institution of finlandUniversity of eastern finlandStrategic research councilHealth servicesIntelligent systems groupUniversity of ouluAcademy of finlandKuopio university hospital